Stable Diffusion WebUI vs ComfyUI vs InvokeAI
The three dominant interfaces for running Stable Diffusion (and FLUX) locally. Each has a distinct philosophy — classic form-based UI, node-graph workflow, or modern canvas. Here's how they compare in 2026.
AUTOMATIC1111
The original classic — massive extension library, tabbed UI, used by millions
ComfyUI
Node-based workflow builder with maximum flexibility and pipeline control
InvokeAI
Modern canvas UI with professional tools, made for creatives and studios
Feature Comparison
| Feature | AUTOMATIC1111 | ComfyUI | InvokeAI |
|---|---|---|---|
| Free & open source | |||
| Works offline | |||
| SD 1.5 support | |||
| SDXL support | |||
| FLUX model support | |||
| ControlNet | |||
| LoRA / LyCORIS | |||
| Img2Img | |||
| Inpainting | |||
| Node-based workflows | |||
| Built-in canvas / workspace | |||
| Extension marketplace | |||
| API access | |||
| Batch processing | |||
| Video generation support | |||
| Windows | |||
| macOS (Metal) | |||
| Linux | |||
| Min VRAM | 4 GB | 4 GB | 4 GB |
| Recommended VRAM | 8–12 GB | 8–24 GB | 8–12 GB |
Hardware Requirements
| Spec | AUTOMATIC1111 | ComfyUI | InvokeAI |
|---|---|---|---|
| Min RAM | 8 GB | 8 GB | 8 GB |
| Rec. RAM | 16 GB | 16–32 GB | 16 GB |
| Min VRAM (GPU) | 4 GB | 4 GB | 4 GB |
| Rec. VRAM (SDXL) | 8 GB | 8 GB | 8 GB |
| Rec. VRAM (FLUX) | 12 GB | 12–16 GB | 12 GB |
| CPU fallback | ✓ (slow) | ✓ (slow) | ✓ (slow) |
| Apple M-series | ✓ | ✓ | ✓ |
| NVIDIA CUDA | ✓ | ✓ | ✓ |
| AMD ROCm | ✓ | ✓ | Limited |
Tool Deep Dives
AUTOMATIC1111 (Stable Diffusion WebUI)
AUTOMATIC1111's WebUI (often just called "A1111") launched in 2022 and quickly became the community standard. Its tab-based interface covers txt2img, img2img, extras, PNG info, and a growing plugin ecosystem with 600+ extensions. The extension marketplace includes everything from one-click ControlNet to regional prompting, face restoration, and video generation.
The project's massive GitHub star count (145k+) reflects the enormous community. Every tutorial, every model card, and every technique is documented with A1111 in mind. The trade-off is that the codebase has become complex, slower to start than ComfyUI, and has been partially superseded by SD.Next and Forge for SDXL/FLUX performance.
Pros
- ✓ Largest extension library (600+)
- ✓ Most tutorials and community resources
- ✓ Familiar tabbed UI for beginners
- ✓ Supports SD 1.5, SDXL, FLUX, SD3
- ✓ Active maintenance (Forge fork)
Cons
- ✗ Slower startup than ComfyUI
- ✗ Complex codebase, technical setup
- ✗ Not node-based (less flexible pipelines)
- ✗ SDXL/FLUX performance behind Forge
ComfyUI
ComfyUI completely reimagined the image generation workflow as a node graph. Instead of a form UI, you connect nodes: a model loader → CLIP text encoder → sampler → VAE decoder → image preview. This makes workflows completely transparent and infinitely composable. ComfyUI workflows are JSON files that can be shared, versioned, and automated.
ComfyUI has become the tool of choice for production pipelines, LoRA training workflows, video generation (with AnimateDiff, HunyuanVideo), and experimental research. Its VRAM management is highly optimized — it squeezes more performance out of limited hardware than A1111. ComfyUI Manager makes installing custom nodes easy.
Pros
- ✓ Node-based = maximum flexibility
- ✓ Best VRAM efficiency
- ✓ Fastest for batch/automated workflows
- ✓ Video generation (AnimateDiff, Wan, HunyuanVideo)
- ✓ API for automation
- ✓ FLUX natively optimized
Cons
- ✗ Steep learning curve
- ✗ Overwhelming for beginners
- ✗ No built-in gallery/canvas
- ✗ Requires understanding of diffusion pipeline
InvokeAI
InvokeAI takes a different approach with a canvas-focused, creative-first interface. Its infinite canvas lets you arrange and work with multiple generations simultaneously — ideal for artists building complex compositions. The Unified Canvas is particularly powerful for outpainting, regional prompting, and iterative creative workflows.
InvokeAI targets creative professionals and studios rather than technical tinkerers. It offers a polished experience with a model manager, workflow editor, and board/gallery system for organizing your work. InvokeAI's professional focus makes it somewhat less hackable but much more stable and user-friendly for creative production.
Pros
- ✓ Beautiful, modern UI
- ✓ Infinite canvas for creative work
- ✓ Professional gallery/board organization
- ✓ Easier to learn than ComfyUI
- ✓ Active professional community
Cons
- ✗ Fewer extensions than A1111
- ✗ Smaller community
- ✗ Video generation limited vs ComfyUI
- ✗ Python/pip install more complex
Choose Based on Your Use Case
Most tutorials exist for A1111. Jump in, follow a YouTube guide, and generate images in 30 minutes.
If you want to build complex pipelines, automate workflows, or push hardware to its limits, ComfyUI is unmatched.
The canvas and board features make InvokeAI the best choice for creative professionals building artwork or illustrations.
Our Recommendation
ComfyUI wins in 2026 for its unmatched flexibility, VRAM efficiency, and production-ready workflow automation. AUTOMATIC1111 remains the runner-up thanks to its massive community and tutorial coverage. InvokeAI is the specialist pick for artists who want a polished, canvas-based creative environment.
Frequently Asked Questions
Which Stable Diffusion UI is easiest for beginners?
AUTOMATIC1111 (stable-diffusion-webui) has the most tutorials and community resources, making it beginner-friendly. InvokeAI's modern UI is also very approachable. ComfyUI has a steeper learning curve due to its node-based workflow.
Do I need a high-end GPU for Stable Diffusion?
You need at least 4 GB VRAM for basic SDXL generation. 8 GB VRAM handles most tasks comfortably. For video or very large images, 16–24 GB is recommended. All three tools support CPU fallback, but it's 10-50x slower.
Which supports FLUX models best?
ComfyUI has the best FLUX support with native node workflows. AUTOMATIC1111/Forge also supports FLUX with extensions. InvokeAI added FLUX support in 2024.
Can I run Stable Diffusion on Mac M-series?
Yes — all three support Apple Metal acceleration on M1/M2/M3/M4 chips. Performance is excellent for a silent, fanless setup. 16 GB unified memory M2/M3 handles SDXL smoothly.
Which has the best ControlNet support?
AUTOMATIC1111 pioneered ControlNet integration and still has the widest selection. ComfyUI offers the most flexible ControlNet pipeline through its node system. InvokeAI has solid built-in ControlNet tools.